AI agents powered by OpenAI GPT-5.5, GPT-5 Thinking, and GPT-5 Instant—the most widely adopted AI models, deployed with content safety guardrails, Azure OpenAI option, and district system integration. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
Deploy AI agents powered by OpenAI's GPT-5.5, GPT-5 Thinking models, and GPT-5 Instant. The most widely recognized AI models in the world, now hardened for K-12 with age-appropriate content safety, Azure OpenAI deployment, and district system integration.
ibl.ai builds your AI agents on Azure OpenAI Service, configures content filtering for student safety, and integrates with your district systems. Students already know ChatGPT—your agents deliver that familiarity with district governance and COPPA/FERPA compliance.
OpenAI GPT is the family of large language models behind ChatGPT—the most widely adopted AI product in history. GPT-5.5 handles multimodal input (text, images, audio), GPT-5.4 performs multi-step reasoning for STEM problems, and GPT-5 Instant delivers fast, cost-efficient responses for high-volume student interactions.
ibl.ai deploys your AI agents on Azure OpenAI Service—Microsoft's enterprise-grade hosting of GPT models within your Azure tenancy. Azure OpenAI provides VNet integration, private endpoints, managed identity, and content filtering that inherits your existing Azure security posture.
Your agents get GPT's capabilities with K-12 safety controls: age-appropriate content filtering, usage monitoring, cost management, role-based access, and integration with your SIS, LMS, and identity systems. Students get helpful AI tutoring, governed by your district.
GPT-4o, o1, and GPT-4o-mini are the most widely recognized AI models in the world. Your users already know ChatGPT, so agents built on GPT models feel natural from the first interaction.
ibl.ai deploys GPT-powered agents with enterprise security, content moderation, and full system integration—the ChatGPT experience governed by your organization.
GPT-4o is the flagship multimodal model—text, images, and audio with state-of-the-art quality. o1 is a reasoning model that thinks step-by-step, excelling at math, science, and complex analysis.
GPT-4o-mini delivers strong performance at a fraction of GPT-4o's cost for high-volume tasks. ibl.ai helps you select the right model per agent and per task.
Azure OpenAI Service hosts the same GPT models within Microsoft's enterprise cloud—your Azure subscription. It adds VNet integration, private endpoints, managed identity, and Microsoft compliance certifications.
The OpenAI API provides direct access with the latest features. Azure OpenAI provides enterprise infrastructure. ibl.ai supports both, and you can use them together.
No. OpenAI's API does not use your data for model training. Your prompts and completions are not shared with other customers.
Azure OpenAI provides even stronger isolation—your data stays in your Azure subscription and is never used to train or improve models. Microsoft's enterprise data protection agreements apply.
Yes. Student data processed through the OpenAI API or Azure OpenAI stays within controlled boundaries. Content moderation policies prevent student PII from appearing in model responses.
Azure OpenAI is recommended for maximum data isolation. Audit logs support FERPA compliance reporting. ibl.ai configures content safety policies specific to educational environments.
Yes. Azure OpenAI is available in Azure Government with FedRAMP High authorization. It supports IL4/IL5 workloads, PIV/CAC authentication, and NIST 800-53 aligned controls.
ibl.ai configures Azure OpenAI within your Azure Government subscription for agencies and organizations with federal compliance requirements.
Yes. All agent configurations, content moderation policies, Azure OpenAI deployment settings, integration code, Infrastructure as Code, monitoring dashboards, and operational runbooks are delivered to your repositories.
Your team operates independently after knowledge transfer. No ongoing dependency on ibl.ai.